The statements that correctly describe the time complexity of data structures with N data are:
- The average time complexity of the data lookup in a hash table is O(N).
- The average time complexity of inserting data into a heap is O(logN)
<h3>What is time complexity of data structures?</h3>
Time Complexity of an algorithm is known to be the depiction of the amount of time needed by the algorithm to carry out to completion.
Note that The statements that correctly describe the time complexity of data structures with N data are:
- The average time complexity of the data lookup in a hash table is O(N).
- The average time complexity of inserting data into a heap is O(logN)
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Answer:
True: In binary search algorithm, we follow the below steps sequentially:
Input: A sorted array B[1,2,...n] of n items and one item x to be searched.
Output: The index of x in B if exists in B, 0 otherwise.
- low=1
- high=n
- while( low < high )
- { mid=low + (high-low)/2
- if( B[mid]==x)
- {
- return(mid) //returns mid as the index of x
- }
- else
- {
- if( B[mid] < x) //takes only right half of the array
- {
- low=mid+1
- }
- else // takes only the left half of the array
- {
- high=mid-1
- }
- }
- }
- return( 0 )
Explanation:
For each iteration the line number 11 or line number 15 will be executed.
Both lines, cut the array size to half of it and takes as the input for next iteration.
You have most probably used some variation of collaboration tools like Slack, Basecamp, and Trello at some office gig. Working within a few of these tools might sometimes have a lot of problems.
1. Forced collaboration on Employees.
Some companies may sometimes fail to notice that some employees do not want to constantly have real-time notifications popping up every minute. They may fail to recognize what is important and what is not and end up wasting money on these tools.
2. The roll-out
These tools might represent awesome business productivity growth but sadly, a huge portion of the employees will be like, what is this? If management decides to use collaboration tools, they should explain what they are and the purpose of using them.
3. Lack of User Training.
Organizations that do not offer strong training programs for these tools can see problems arise very quickly. This could help gain insight on whether or not employees want to collaborate in the first place.
4. The “reduction in email” argument
People might positively accept these tools and become a bit connected. However, the downside to it is that, whenever something big is due, everyone falls back to email. Users need to seriously use these tools across a variety of contexts.
5. The overloading of documents and files.
If collaboration tools are rolled out for the sake of process documents and burdensome tracking sheets, people might head right back to their email and full meeting schedules and collaboration will die in the flood.
The type of letter they are looking for is an Inquiry Letter.
An Inquiry letter asks questions or elicits info from the recipient. They would include what they are looking for or what they need to know about. They should include any info to reach back to them.
